In the last few years, there has been a growing interest in learning
analytics (LA) in technology-enhanced learning (TEL). LA approaches
share a movement from data to analysis to action to learning. The TEL
landscape is changing. Learning is increasingly happening in open and
networked learning environments, characterized by increasing complexity
and fast-paced change. This should be reflected in the conceptualization
and development of innovative LA approaches in order to achieve more
effective learning experiences. There is a need to provide understanding
into how learners learn in these environments and how learners,
educators, institutions, and researchers can best support this process.
In this chapter, we discuss open learning analytics as an emerging
research field that has the potential to deal with the challenges in
open and networked environments and present key conceptual and technical
ideas toward an open learning analytics ecosystem.

About Me

Prof. Dr. Mohamed Amine Chatti is professor of computer science and head of the Social Computing Group in the Department of Computer Science and Applied Cognitive Science at the University of Duisburg-Essen. He has a diploma degree in computer science from the Technical University of Kaiserslautern in 2004 and a PhD in computer science from RWTH Aachen University in 2010. His research focuses on Social Computing, Web Information Systems, Data Science, Visual Analytics, Learning Technologies, Learning Analytics, and Knowledge Management.